TensorFlow.js · ESPN box scores · 25-D MLP
Train a season. Rank the league.
Pick a league and year. The server pulls every regular-season box score, fits a small dense network on standardized point differential, and returns a power ranking you can read against ESPN.
SYS // Ranking engine
Configure a run
Ready
- Target
- 2025 NFL
- Runtime
- ~1 min first run
- Universe
- 32 clubs
- Benchmark
- ESPN FPI
- 01 Uplink
- 02 Ingest
- 03 Extract
- 04 Normalize
- 05 Fit
- 06 Score
- 07 Rank
First run is slow because it hydrates ESPN summaries, not because the network is large. How the model works
Awaiting run
Rankings land here after training — our model on the left, ESPN on the right.